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Kan olika virussjukdomar blockera varandra? En studie baserad på övervakningsdata


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/23835

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Title: Kan olika virussjukdomar blockera varandra? En studie baserad på övervakningsdata
Other Titles: Can different viral diseases block each other? A study based on monitoring data
Authors: Özcelik, Aysegül
Issue Date: 25-Oct-2010
Degree: Student essay
Series/Report no.: Folkhälsovetenskapligt program
Keywords: korrelationsanalys, influensa, RSV, svininfluensa (H1N1)
carrelation analysis, influenza, RSV, Swine flu (H1N1)
Abstract: Bakgrund: Smittskyddsinstitutet påpekar möjligheten om att olika virussjukdomar möjligtvist kan blockera varandra. Det sägs att virus som orsakar vanlig förkylning, Rhinovirus, kan ha räddat många människor från svininfluensan. Om detta antagande visar sig vara sant skulle det förklara varför vissa virussjukdomar i vissa länder har varit långsamma med att ta fart och peka på ett nytt sätt att bekämpa influensa. Syfte: Huvudsyftet med studien är att utifrån rapporterade fall av RSV och influ... more
Description: Background: Infectious Diseases Institute points out that the potential of various viral diseases possibly can block each other. It is said that the virus that causes common cold, Rhinovirus, may have saved many people from the flu. If this assumption proves true, it would explain why some viral diseases in some countries have been slow to take off and point to a new way to struggle influenza. Objective: The main purpose of this study, based on reported cases of RSV and influenza type A, type B and H1N1, investigate whether viral diseases can block each other, i.e. difficult season of flu may delay and / or mitigate the spread of RSV in Sweden. Method: Composing descriptive data to illustrate to what extent the various viral infections, RSV and influenza virus types, affect each other. It has been used statistical correlation analysis to estimate and test the degree of impact. Results: Correlation analysis for RSV and influenza A was found to be negative but not statistically significant. However, it’s still quite high for a possible block between RSV and influenza A. For RSV and Influenza B correlation was positive but not statistically significant. The correlation between RSV and the total flu were negative but not statistically significant. On the contrary, the correlation between RSV and H1N1 was negative and statistically significant. Discussion: The results for RSV and influenza A shows that the seasons when there is a large outbreak of influenza A, RSV comes afterwards and is milder and when RSV season is severe it will be inverted. The same trend is also present in the time series graph from the Infectious Diseases Institute. One possible explanation for why there was a positive correlation between RSV and influenza B could be that influenza B coincides with RSV at the same time almost in every season. The outcome of RSV and the total flu were negative but not statistically significant.This may be due to influenza A and B integrated different with RSV. The correlation between RSV and H1N1 was significantly negative and could indicate that H1N1 outbreak occurred at a different time than RSV, which may be a coincidence and do not necessarily indicate that one of the other protected.
URI: http://hdl.handle.net/2077/23835
Appears in Collections:Magisteruppsatser, Folkhälsovetenskapligt program

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